{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\k1780867\Dropbox\cartelle condivise\NZ-Careers\data and analysis\-analysis\Replication_Code\manuscript_log.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 5 Nov 2018, 12:54:39
{txt}
{com}. 
. clear
{txt}
{com}. 
. set more off
{txt}
{com}. 
. cd "C:\\Users\\k1780867\\Dropbox\\cartelle condivise\\NZ-Careers\\data and analysis\\data"
{res}C:\Users\k1780867\Dropbox\cartelle condivise\NZ-Careers\data and analysis\data
{txt}
{com}. 
. 
. use "datasetNZballot_Aug2017_prepared.dta", clear
{txt}(Written by R.              )

{com}. 
. 
. ***************************************************************************
. **Analysis Benefits - Full Sample******************************************
. ***************************************************************************
. *Manuscript (Table 1 - first 3 columns and Table 2)
. foreach y in benefits_ord {c -(}
{txt}  2{com}. foreach x in extracted bill_passed  {c -(}
{txt}  3{com}. 
. ologit `y' `x' , cluster(MP)
{txt}  4{com}. outreg2 using regression_`y'_`x' , tex replace keep(`x') label title("Private Benefits") addtext(Clustered SE, YES)
{txt}  5{com}. ologit `y' `x' list_constnum career_minister_pre committee_chair, cluster(MP)
{txt}  6{com}. outreg2 using regression_`y'_`x', tex append keep(`x') label title("Private Benefits") addtext(Clustered SE, YES, Controls, YES)
{txt}  7{com}. ologit `y' `x' list_constnum career_minister_pre committee_chair period_2 period_3 i.party2, cluster(MP)
{txt}  8{com}. outreg2 using regression_`y'_`x', tex append keep( `x') label title("Private Benefits") addtext(Clustered SE, YES, Controls, YES, Party FE, YES, Legislative Period FE, YES)
{txt}  9{com}. {c )-}
{txt} 10{com}. {c )-}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1973.3974}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1972.0106}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1972.0043}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1972.0043}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     3,056
{txt}{col 49}Wald chi2({res}1{txt}){col 67}= {res}      3.01
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0829
{txt}Log pseudolikelihood = {res}-1972.0043{txt}{col 49}Pseudo R2{col 67}= {res}    0.0007

{txt}{ralign 78:(Std. Err. adjusted for {res:151} clusters in MP)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}benefits_ord{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}extracted {c |}{col 14}{res}{space 2} .3358955{col 26}{space 2} .1936873{col 37}{space 1}    1.73{col 46}{space 3}0.083{col 54}{space 4}-.0437247{col 67}{space 3} .7155156
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}/cut1 {c |}{col 14}{res}{space 2} .9381193{col 26}{space 2} .1460409{col 54}{space 4} .6518845{col 67}{space 3} 1.224354
{txt}{space 7}/cut2 {c |}{col 14}{res}{space 2}  4.44445{col 26}{space 2} .5033605{col 54}{space 4} 3.457881{col 67}{space 3} 5.431018
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"regression_benefits_ord_extracted.tex"'"':regression_benefits_ord_extracted.tex}
{browse `"C:\Users\k1780867\Dropbox\cartelle condivise\NZ-Careers\data and analysis\data"' :dir}{com} : {txt}{stata `"seeout using "regression_benefits_ord_extracted.txt", label"':seeout}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1973.3974}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1934.7853}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1934.3928}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1934.3928}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     3,056
{txt}{col 49}Wald chi2({res}4{txt}){col 67}= {res}     11.76
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0193
{txt}Log pseudolikelihood = {res}-1934.3928{txt}{col 49}Pseudo R2{col 67}= {res}    0.0198

{txt}{ralign 85:(Std. Err. adjusted for {res:151} clusters in MP)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}       benefits_ord{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}extracted {c |}{col 21}{res}{space 2} .3258493{col 33}{space 2} .1926329{col 44}{space 1}    1.69{col 53}{space 3}0.091{col 61}{space 4}-.0517043{col 74}{space 3} .7034029
{txt}{space 6}list_constnum {c |}{col 21}{res}{space 2}-.3458212{col 33}{space 2} .2934322{col 44}{space 1}   -1.18{col 53}{space 3}0.239{col 61}{space 4}-.9209376{col 74}{space 3} .2292953
{txt}career_minister_pre {c |}{col 21}{res}{space 2}  .474326{col 33}{space 2} .2886072{col 44}{space 1}    1.64{col 53}{space 3}0.100{col 61}{space 4}-.0913337{col 74}{space 3} 1.039986
{txt}{space 4}committee_chair {c |}{col 21}{res}{space 2} .7877044{col 33}{space 2} .3492098{col 44}{space 1}    2.26{col 53}{space 3}0.024{col 61}{space 4} .1032658{col 74}{space 3} 1.472143
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}/cut1 {c |}{col 21}{res}{space 2} 1.082099{col 33}{space 2} .2389377{col 61}{space 4}   .61379{col 74}{space 3} 1.550408
{txt}{space 14}/cut2 {c |}{col 21}{res}{space 2} 4.629241{col 33}{space 2} .5784615{col 61}{space 4} 3.495477{col 74}{space 3} 5.763005
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"regression_benefits_ord_extracted.tex"'"':regression_benefits_ord_extracted.tex}
{browse `"C:\Users\k1780867\Dropbox\cartelle condivise\NZ-Careers\data and analysis\data"' :dir}{com} : {txt}{stata `"seeout using "regression_benefits_ord_extracted.txt", label"':seeout}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1973.3974}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1840.3183}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1834.1309}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1834.0986}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1834.0986}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     3,056
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     26.64
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0052
{txt}Log pseudolikelihood = {res}-1834.0986{txt}{col 49}Pseudo R2{col 67}= {res}    0.0706

{txt}{ralign 85:(Std. Err. adjusted for {res:151} clusters in MP)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}       benefits_ord{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}extracted {c |}{col 21}{res}{space 2}  .379939{col 33}{space 2} .2018806{col 44}{space 1}    1.88{col 53}{space 3}0.060{col 61}{space 4}-.0157398{col 74}{space 3} .7756178
{txt}{space 6}list_constnum {c |}{col 21}{res}{space 2}-.7256379{col 33}{space 2} .3129175{col 44}{space 1}   -2.32{col 53}{space 3}0.020{col 61}{space 4}-1.338945{col 74}{space 3} -.112331
{txt}career_minister_pre {c |}{col 21}{res}{space 2}  .628372{col 33}{space 2}   .47238{col 44}{space 1}    1.33{col 53}{space 3}0.183{col 61}{space 4}-.2974757{col 74}{space 3}  1.55422
{txt}{space 4}committee_chair {c |}{col 21}{res}{space 2} .3294838{col 33}{space 2} .3481887{col 44}{space 1}    0.95{col 53}{space 3}0.344{col 61}{space 4}-.3529535{col 74}{space 3} 1.011921
{txt}{space 11}period_2 {c |}{col 21}{res}{space 2} 1.232521{col 33}{space 2} .4298832{col 44}{space 1}    2.87{col 53}{space 3}0.004{col 61}{space 4} .3899658{col 74}{space 3} 2.075077
{txt}{space 11}period_3 {c |}{col 21}{res}{space 2} 1.366014{col 33}{space 2} .4527855{col 44}{space 1}    3.02{col 53}{space 3}0.003{col 61}{space 4} .4785702{col 74}{space 3} 2.253457
{txt}{space 19} {c |}
{space 13}party2 {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-2.676763{col 33}{space 2} .9170628{col 44}{space 1}   -2.92{col 53}{space 3}0.004{col 61}{space 4}-4.474173{col 74}{space 3}-.8793526
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-1.743728{col 33}{space 2} .8727454{col 44}{space 1}   -2.00{col 53}{space 3}0.046{col 61}{space 4}-3.454278{col 74}{space 3}-.0331788
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-.6969581{col 33}{space 2} .9143971{col 44}{space 1}   -0.76{col 53}{space 3}0.446{col 61}{space 4}-2.489143{col 74}{space 3} 1.095227
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-1.115119{col 33}{space 2}  .808743{col 44}{space 1}   -1.38{col 53}{space 3}0.168{col 61}{space 4}-2.700226{col 74}{space 3} .4699885
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-1.690836{col 33}{space 2} .9403678{col 44}{space 1}   -1.80{col 53}{space 3}0.072{col 61}{space 4}-3.533924{col 74}{space 3} .1522507
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}/cut1 {c |}{col 21}{res}{space 2} .4137326{col 33}{space 2} .8491591{col 61}{space 4}-1.250589{col 74}{space 3} 2.078054
{txt}{space 14}/cut2 {c |}{col 21}{res}{space 2}  4.06085{col 33}{space 2} .9769803{col 61}{space 4} 2.146004{col 74}{space 3} 5.975696
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"regression_benefits_ord_extracted.tex"'"':regression_benefits_ord_extracted.tex}
{browse `"C:\Users\k1780867\Dropbox\cartelle condivise\NZ-Careers\data and analysis\data"' :dir}{com} : {txt}{stata `"seeout using "regression_benefits_ord_extracted.txt", label"':seeout}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-86.514506}  
Iteration 1:{space 3}log pseudolikelihood = {res:-82.928257}  
Iteration 2:{space 3}log pseudolikelihood = {res:-82.876935}  
Iteration 3:{space 3}log pseudolikelihood = {res:-82.876864}  
Iteration 4:{space 3}log pseudolikelihood = {res:-82.876864}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       117
{txt}{col 49}Wald chi2({res}1{txt}){col 67}= {res}      6.29
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0121
{txt}Log pseudolikelihood = {res}-82.876864{txt}{col 49}Pseudo R2{col 67}= {res}    0.0420

{txt}{ralign 78:(Std. Err. adjusted for {res:80} clusters in MP)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}benefits_ord{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}bill_passed {c |}{col 14}{res}{space 2} 1.490233{col 26}{space 2} .5941631{col 37}{space 1}    2.51{col 46}{space 3}0.012{col 54}{space 4} .3256953{col 67}{space 3} 2.654772
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}/cut1 {c |}{col 14}{res}{space 2} .8265823{col 26}{space 2} .2340458{col 54}{space 4}  .367861{col 67}{space 3} 1.285304
{txt}{space 7}/cut2 {c |}{col 14}{res}{space 2}  3.98981{col 26}{space 2} .5676403{col 54}{space 4} 2.877255{col 67}{space 3} 5.102364
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"regression_benefits_ord_bill_passed.tex"'"':regression_benefits_ord_bill_passed.tex}
{browse `"C:\Users\k1780867\Dropbox\cartelle condivise\NZ-Careers\data and analysis\data"' :dir}{com} : {txt}{stata `"seeout using "regression_benefits_ord_bill_passed.txt", label"':seeout}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-86.514506}  
Iteration 1:{space 3}log pseudolikelihood = {res:-81.961939}  
Iteration 2:{space 3}log pseudolikelihood = {res:-81.903382}  
Iteration 3:{space 3}log pseudolikelihood = {res:-81.903246}  
Iteration 4:{space 3}log pseudolikelihood = {res:-81.903246}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       117
{txt}{col 49}Wald chi2({res}4{txt}){col 67}= {res}     10.03
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0399
{txt}Log pseudolikelihood = {res}-81.903246{txt}{col 49}Pseudo R2{col 67}= {res}    0.0533

{txt}{ralign 85:(Std. Err. adjusted for {res:80} clusters in MP)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}       benefits_ord{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}bill_passed {c |}{col 21}{res}{space 2} 1.354277{col 33}{space 2}  .614872{col 44}{space 1}    2.20{col 53}{space 3}0.028{col 61}{space 4} .1491498{col 74}{space 3} 2.559404
{txt}{space 6}list_constnum {c |}{col 21}{res}{space 2} .0245502{col 33}{space 2} .4876243{col 44}{space 1}    0.05{col 53}{space 3}0.960{col 61}{space 4}-.9311759{col 74}{space 3} .9802763
{txt}career_minister_pre {c |}{col 21}{res}{space 2}  .005611{col 33}{space 2} .4762359{col 44}{space 1}    0.01{col 53}{space 3}0.991{col 61}{space 4}-.9277942{col 74}{space 3} .9390162
{txt}{space 4}committee_chair {c |}{col 21}{res}{space 2} .8216702{col 33}{space 2} .5965923{col 44}{space 1}    1.38{col 53}{space 3}0.168{col 61}{space 4}-.3476291{col 74}{space 3}  1.99097
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}/cut1 {c |}{col 21}{res}{space 2} .9263193{col 33}{space 2} .3394093{col 61}{space 4} .2610894{col 74}{space 3} 1.591549
{txt}{space 14}/cut2 {c |}{col 21}{res}{space 2} 4.130874{col 33}{space 2}  .687023{col 61}{space 4} 2.784334{col 74}{space 3} 5.477414
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"regression_benefits_ord_bill_passed.tex"'"':regression_benefits_ord_bill_passed.tex}
{browse `"C:\Users\k1780867\Dropbox\cartelle condivise\NZ-Careers\data and analysis\data"' :dir}{com} : {txt}{stata `"seeout using "regression_benefits_ord_bill_passed.txt", label"':seeout}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-86.514506}  
Iteration 1:{space 3}log pseudolikelihood = {res:-71.356963}  
Iteration 2:{space 3}log pseudolikelihood = {res:-70.341595}  
Iteration 3:{space 3}log pseudolikelihood = {res:-70.334521}  
Iteration 4:{space 3}log pseudolikelihood = {res:-70.334517}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       117
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     34.42
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0003
{txt}Log pseudolikelihood = {res}-70.334517{txt}{col 49}Pseudo R2{col 67}= {res}    0.1870

{txt}{ralign 85:(Std. Err. adjusted for {res:80} clusters in MP)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}       benefits_ord{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}bill_passed {c |}{col 21}{res}{space 2} 1.678468{col 33}{space 2} .7449574{col 44}{space 1}    2.25{col 53}{space 3}0.024{col 61}{space 4} .2183787{col 74}{space 3} 3.138558
{txt}{space 6}list_constnum {c |}{col 21}{res}{space 2}-.4058611{col 33}{space 2}  .487571{col 44}{space 1}   -0.83{col 53}{space 3}0.405{col 61}{space 4}-1.361483{col 74}{space 3} .5497606
{txt}career_minister_pre {c |}{col 21}{res}{space 2} .7838466{col 33}{space 2}  .678141{col 44}{space 1}    1.16{col 53}{space 3}0.248{col 61}{space 4}-.5452853{col 74}{space 3} 2.112979
{txt}{space 4}committee_chair {c |}{col 21}{res}{space 2} .0664848{col 33}{space 2} .6225074{col 44}{space 1}    0.11{col 53}{space 3}0.915{col 61}{space 4}-1.153607{col 74}{space 3} 1.286577
{txt}{space 11}period_2 {c |}{col 21}{res}{space 2} 1.409507{col 33}{space 2} .8229554{col 44}{space 1}    1.71{col 53}{space 3}0.087{col 61}{space 4}-.2034559{col 74}{space 3}  3.02247
{txt}{space 11}period_3 {c |}{col 21}{res}{space 2} 2.415613{col 33}{space 2} .8757281{col 44}{space 1}    2.76{col 53}{space 3}0.006{col 61}{space 4} .6992172{col 74}{space 3} 4.132008
{txt}{space 19} {c |}
{space 13}party2 {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-5.311534{col 33}{space 2} 1.219712{col 44}{space 1}   -4.35{col 53}{space 3}0.000{col 61}{space 4}-7.702125{col 74}{space 3}-2.920943
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-4.924951{col 33}{space 2} 1.252415{col 44}{space 1}   -3.93{col 53}{space 3}0.000{col 61}{space 4}-7.379639{col 74}{space 3}-2.470262
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-4.300731{col 33}{space 2} 1.231638{col 44}{space 1}   -3.49{col 53}{space 3}0.000{col 61}{space 4}-6.714697{col 74}{space 3}-1.886765
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-3.698687{col 33}{space 2} 1.171921{col 44}{space 1}   -3.16{col 53}{space 3}0.002{col 61}{space 4}-5.995611{col 74}{space 3}-1.401763
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-4.878491{col 33}{space 2} 1.571077{col 44}{space 1}   -3.11{col 53}{space 3}0.002{col 61}{space 4}-7.957744{col 74}{space 3}-1.799237
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}/cut1 {c |}{col 21}{res}{space 2}-1.779923{col 33}{space 2} .8045509{col 61}{space 4}-3.356814{col 74}{space 3}-.2030324
{txt}{space 14}/cut2 {c |}{col 21}{res}{space 2} 1.924269{col 33}{space 2} .7012904{col 61}{space 4} .5497652{col 74}{space 3} 3.298773
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"regression_benefits_ord_bill_passed.tex"'"':regression_benefits_ord_bill_passed.tex}
{browse `"C:\Users\k1780867\Dropbox\cartelle condivise\NZ-Careers\data and analysis\data"' :dir}{com} : {txt}{stata `"seeout using "regression_benefits_ord_bill_passed.txt", label"':seeout}

{com}. 
. *Predicted Probabilities
. 
. ologit benefits_ord extracted list_constnum career_minister_pre committee_chair period_2 period_3 i.party2, cluster(MP)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1973.3974}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1840.3183}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1834.1309}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1834.0986}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1834.0986}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     3,056
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     26.64
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0052
{txt}Log pseudolikelihood = {res}-1834.0986{txt}{col 49}Pseudo R2{col 67}= {res}    0.0706

{txt}{ralign 85:(Std. Err. adjusted for {res:151} clusters in MP)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}       benefits_ord{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}extracted {c |}{col 21}{res}{space 2}  .379939{col 33}{space 2} .2018806{col 44}{space 1}    1.88{col 53}{space 3}0.060{col 61}{space 4}-.0157398{col 74}{space 3} .7756178
{txt}{space 6}list_constnum {c |}{col 21}{res}{space 2}-.7256379{col 33}{space 2} .3129175{col 44}{space 1}   -2.32{col 53}{space 3}0.020{col 61}{space 4}-1.338945{col 74}{space 3} -.112331
{txt}career_minister_pre {c |}{col 21}{res}{space 2}  .628372{col 33}{space 2}   .47238{col 44}{space 1}    1.33{col 53}{space 3}0.183{col 61}{space 4}-.2974757{col 74}{space 3}  1.55422
{txt}{space 4}committee_chair {c |}{col 21}{res}{space 2} .3294838{col 33}{space 2} .3481887{col 44}{space 1}    0.95{col 53}{space 3}0.344{col 61}{space 4}-.3529535{col 74}{space 3} 1.011921
{txt}{space 11}period_2 {c |}{col 21}{res}{space 2} 1.232521{col 33}{space 2} .4298832{col 44}{space 1}    2.87{col 53}{space 3}0.004{col 61}{space 4} .3899658{col 74}{space 3} 2.075077
{txt}{space 11}period_3 {c |}{col 21}{res}{space 2} 1.366014{col 33}{space 2} .4527855{col 44}{space 1}    3.02{col 53}{space 3}0.003{col 61}{space 4} .4785702{col 74}{space 3} 2.253457
{txt}{space 19} {c |}
{space 13}party2 {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-2.676763{col 33}{space 2} .9170628{col 44}{space 1}   -2.92{col 53}{space 3}0.004{col 61}{space 4}-4.474173{col 74}{space 3}-.8793526
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-1.743728{col 33}{space 2} .8727454{col 44}{space 1}   -2.00{col 53}{space 3}0.046{col 61}{space 4}-3.454278{col 74}{space 3}-.0331788
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-.6969581{col 33}{space 2} .9143971{col 44}{space 1}   -0.76{col 53}{space 3}0.446{col 61}{space 4}-2.489143{col 74}{space 3} 1.095227
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-1.115119{col 33}{space 2}  .808743{col 44}{space 1}   -1.38{col 53}{space 3}0.168{col 61}{space 4}-2.700226{col 74}{space 3} .4699885
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-1.690836{col 33}{space 2} .9403678{col 44}{space 1}   -1.80{col 53}{space 3}0.072{col 61}{space 4}-3.533924{col 74}{space 3} .1522507
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}/cut1 {c |}{col 21}{res}{space 2} .4137326{col 33}{space 2} .8491591{col 61}{space 4}-1.250589{col 74}{space 3} 2.078054
{txt}{space 14}/cut2 {c |}{col 21}{res}{space 2}  4.06085{col 33}{space 2} .9769803{col 61}{space 4} 2.146004{col 74}{space 3} 5.975696
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins, predict(outcome(1)) at(extracted=0) atmeans post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     3,056
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(benefits_ord==1), predict(outcome(1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:extracted}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:list_const~m}{space 4}{txt:=} {space 3}.4990183 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:career_min~e}{space 4}{txt:=} {space 3}.4250654 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:committee_~r}{space 4}{txt:=} {space 3}.1171466 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:period_2}{space 8}{txt:=} {space 3}.3871073 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:period_3}{space 8}{txt:=} {space 4}.473822 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.party2}{space 8}{txt:=} {space 4}.020288 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.party2}{space 8}{txt:=} {space 3}.1992801 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.party2}{space 8}{txt:=} {space 4}.411322 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.party2}{space 8}{txt:=} {space 3}.0212696 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.party2}{space 8}{txt:=} {space 3}.2434555 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.party2}{space 8}{txt:=} {space 3}.1043848 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_cons {c |}{col 14}{res}{space 2} .2484981{col 26}{space 2} .0292512{col 37}{space 1}    8.50{col 46}{space 3}0.000{col 54}{space 4} .1911668{col 67}{space 3} .3058294
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. ologit benefits_ord extracted list_constnum career_minister_pre committee_chair period_2 period_3 i.party2, cluster(MP)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1973.3974}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1840.3183}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1834.1309}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1834.0986}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1834.0986}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     3,056
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     26.64
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0052
{txt}Log pseudolikelihood = {res}-1834.0986{txt}{col 49}Pseudo R2{col 67}= {res}    0.0706

{txt}{ralign 85:(Std. Err. adjusted for {res:151} clusters in MP)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}       benefits_ord{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}extracted {c |}{col 21}{res}{space 2}  .379939{col 33}{space 2} .2018806{col 44}{space 1}    1.88{col 53}{space 3}0.060{col 61}{space 4}-.0157398{col 74}{space 3} .7756178
{txt}{space 6}list_constnum {c |}{col 21}{res}{space 2}-.7256379{col 33}{space 2} .3129175{col 44}{space 1}   -2.32{col 53}{space 3}0.020{col 61}{space 4}-1.338945{col 74}{space 3} -.112331
{txt}career_minister_pre {c |}{col 21}{res}{space 2}  .628372{col 33}{space 2}   .47238{col 44}{space 1}    1.33{col 53}{space 3}0.183{col 61}{space 4}-.2974757{col 74}{space 3}  1.55422
{txt}{space 4}committee_chair {c |}{col 21}{res}{space 2} .3294838{col 33}{space 2} .3481887{col 44}{space 1}    0.95{col 53}{space 3}0.344{col 61}{space 4}-.3529535{col 74}{space 3} 1.011921
{txt}{space 11}period_2 {c |}{col 21}{res}{space 2} 1.232521{col 33}{space 2} .4298832{col 44}{space 1}    2.87{col 53}{space 3}0.004{col 61}{space 4} .3899658{col 74}{space 3} 2.075077
{txt}{space 11}period_3 {c |}{col 21}{res}{space 2} 1.366014{col 33}{space 2} .4527855{col 44}{space 1}    3.02{col 53}{space 3}0.003{col 61}{space 4} .4785702{col 74}{space 3} 2.253457
{txt}{space 19} {c |}
{space 13}party2 {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-2.676763{col 33}{space 2} .9170628{col 44}{space 1}   -2.92{col 53}{space 3}0.004{col 61}{space 4}-4.474173{col 74}{space 3}-.8793526
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-1.743728{col 33}{space 2} .8727454{col 44}{space 1}   -2.00{col 53}{space 3}0.046{col 61}{space 4}-3.454278{col 74}{space 3}-.0331788
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-.6969581{col 33}{space 2} .9143971{col 44}{space 1}   -0.76{col 53}{space 3}0.446{col 61}{space 4}-2.489143{col 74}{space 3} 1.095227
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-1.115119{col 33}{space 2}  .808743{col 44}{space 1}   -1.38{col 53}{space 3}0.168{col 61}{space 4}-2.700226{col 74}{space 3} .4699885
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-1.690836{col 33}{space 2} .9403678{col 44}{space 1}   -1.80{col 53}{space 3}0.072{col 61}{space 4}-3.533924{col 74}{space 3} .1522507
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}/cut1 {c |}{col 21}{res}{space 2} .4137326{col 33}{space 2} .8491591{col 61}{space 4}-1.250589{col 74}{space 3} 2.078054
{txt}{space 14}/cut2 {c |}{col 21}{res}{space 2}  4.06085{col 33}{space 2} .9769803{col 61}{space 4} 2.146004{col 74}{space 3} 5.975696
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins, predict(outcome(1)) at(extracted=1) atmeans post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     3,056
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(benefits_ord==1), predict(outcome(1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:extracted}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:list_const~m}{space 4}{txt:=} {space 3}.4990183 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:career_min~e}{space 4}{txt:=} {space 3}.4250654 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:committee_~r}{space 4}{txt:=} {space 3}.1171466 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:period_2}{space 8}{txt:=} {space 3}.3871073 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:period_3}{space 8}{txt:=} {space 4}.473822 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.party2}{space 8}{txt:=} {space 4}.020288 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.party2}{space 8}{txt:=} {space 3}.1992801 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.party2}{space 8}{txt:=} {space 4}.411322 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.party2}{space 8}{txt:=} {space 3}.0212696 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.party2}{space 8}{txt:=} {space 3}.2434555 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.party2}{space 8}{txt:=} {space 3}.1043848 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_cons {c |}{col 14}{res}{space 2}  .323375{col 26}{space 2} .0482731{col 37}{space 1}    6.70{col 46}{space 3}0.000{col 54}{space 4} .2287615{col 67}{space 3} .4179884
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. ologit benefits_ord bill_passed list_constnum career_minister_pre committee_chair period_2 period_3 i.party2, cluster(MP)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-86.514506}  
Iteration 1:{space 3}log pseudolikelihood = {res:-71.356963}  
Iteration 2:{space 3}log pseudolikelihood = {res:-70.341595}  
Iteration 3:{space 3}log pseudolikelihood = {res:-70.334521}  
Iteration 4:{space 3}log pseudolikelihood = {res:-70.334517}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       117
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     34.42
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0003
{txt}Log pseudolikelihood = {res}-70.334517{txt}{col 49}Pseudo R2{col 67}= {res}    0.1870

{txt}{ralign 85:(Std. Err. adjusted for {res:80} clusters in MP)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}       benefits_ord{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}bill_passed {c |}{col 21}{res}{space 2} 1.678468{col 33}{space 2} .7449574{col 44}{space 1}    2.25{col 53}{space 3}0.024{col 61}{space 4} .2183787{col 74}{space 3} 3.138558
{txt}{space 6}list_constnum {c |}{col 21}{res}{space 2}-.4058611{col 33}{space 2}  .487571{col 44}{space 1}   -0.83{col 53}{space 3}0.405{col 61}{space 4}-1.361483{col 74}{space 3} .5497606
{txt}career_minister_pre {c |}{col 21}{res}{space 2} .7838466{col 33}{space 2}  .678141{col 44}{space 1}    1.16{col 53}{space 3}0.248{col 61}{space 4}-.5452853{col 74}{space 3} 2.112979
{txt}{space 4}committee_chair {c |}{col 21}{res}{space 2} .0664848{col 33}{space 2} .6225074{col 44}{space 1}    0.11{col 53}{space 3}0.915{col 61}{space 4}-1.153607{col 74}{space 3} 1.286577
{txt}{space 11}period_2 {c |}{col 21}{res}{space 2} 1.409507{col 33}{space 2} .8229554{col 44}{space 1}    1.71{col 53}{space 3}0.087{col 61}{space 4}-.2034559{col 74}{space 3}  3.02247
{txt}{space 11}period_3 {c |}{col 21}{res}{space 2} 2.415613{col 33}{space 2} .8757281{col 44}{space 1}    2.76{col 53}{space 3}0.006{col 61}{space 4} .6992172{col 74}{space 3} 4.132008
{txt}{space 19} {c |}
{space 13}party2 {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-5.311534{col 33}{space 2} 1.219712{col 44}{space 1}   -4.35{col 53}{space 3}0.000{col 61}{space 4}-7.702125{col 74}{space 3}-2.920943
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-4.924951{col 33}{space 2} 1.252415{col 44}{space 1}   -3.93{col 53}{space 3}0.000{col 61}{space 4}-7.379639{col 74}{space 3}-2.470262
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-4.300731{col 33}{space 2} 1.231638{col 44}{space 1}   -3.49{col 53}{space 3}0.000{col 61}{space 4}-6.714697{col 74}{space 3}-1.886765
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-3.698687{col 33}{space 2} 1.171921{col 44}{space 1}   -3.16{col 53}{space 3}0.002{col 61}{space 4}-5.995611{col 74}{space 3}-1.401763
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-4.878491{col 33}{space 2} 1.571077{col 44}{space 1}   -3.11{col 53}{space 3}0.002{col 61}{space 4}-7.957744{col 74}{space 3}-1.799237
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}/cut1 {c |}{col 21}{res}{space 2}-1.779923{col 33}{space 2} .8045509{col 61}{space 4}-3.356814{col 74}{space 3}-.2030324
{txt}{space 14}/cut2 {c |}{col 21}{res}{space 2} 1.924269{col 33}{space 2} .7012904{col 61}{space 4} .5497652{col 74}{space 3} 3.298773
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins, predict(outcome(1)) at(bill_passed=0) atmeans post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       117
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(benefits_ord==1), predict(outcome(1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:bill_passed}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:list_const~m}{space 4}{txt:=} {space 3}.5128205 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:career_min~e}{space 4}{txt:=} {space 3}.4700855 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:committee_~r}{space 4}{txt:=} {space 3}.1111111 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:period_2}{space 8}{txt:=} {space 3}.3589744 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:period_3}{space 8}{txt:=} {space 3}.4273504 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.party2}{space 8}{txt:=} {space 4}.025641 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.party2}{space 8}{txt:=} {space 3}.1709402 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.party2}{space 8}{txt:=} {space 3}.4358974 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.party2}{space 8}{txt:=} {space 4}.042735 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.party2}{space 8}{txt:=} {space 3}.2307692 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.party2}{space 8}{txt:=} {space 3}.0940171 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_cons {c |}{col 14}{res}{space 2} .2479789{col 26}{space 2} .0559345{col 37}{space 1}    4.43{col 46}{space 3}0.000{col 54}{space 4} .1383492{col 67}{space 3} .3576086
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. ologit benefits_ord bill_passed list_constnum career_minister_pre committee_chair period_2 period_3 i.party2, cluster(MP)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-86.514506}  
Iteration 1:{space 3}log pseudolikelihood = {res:-71.356963}  
Iteration 2:{space 3}log pseudolikelihood = {res:-70.341595}  
Iteration 3:{space 3}log pseudolikelihood = {res:-70.334521}  
Iteration 4:{space 3}log pseudolikelihood = {res:-70.334517}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       117
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     34.42
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0003
{txt}Log pseudolikelihood = {res}-70.334517{txt}{col 49}Pseudo R2{col 67}= {res}    0.1870

{txt}{ralign 85:(Std. Err. adjusted for {res:80} clusters in MP)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}       benefits_ord{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}bill_passed {c |}{col 21}{res}{space 2} 1.678468{col 33}{space 2} .7449574{col 44}{space 1}    2.25{col 53}{space 3}0.024{col 61}{space 4} .2183787{col 74}{space 3} 3.138558
{txt}{space 6}list_constnum {c |}{col 21}{res}{space 2}-.4058611{col 33}{space 2}  .487571{col 44}{space 1}   -0.83{col 53}{space 3}0.405{col 61}{space 4}-1.361483{col 74}{space 3} .5497606
{txt}career_minister_pre {c |}{col 21}{res}{space 2} .7838466{col 33}{space 2}  .678141{col 44}{space 1}    1.16{col 53}{space 3}0.248{col 61}{space 4}-.5452853{col 74}{space 3} 2.112979
{txt}{space 4}committee_chair {c |}{col 21}{res}{space 2} .0664848{col 33}{space 2} .6225074{col 44}{space 1}    0.11{col 53}{space 3}0.915{col 61}{space 4}-1.153607{col 74}{space 3} 1.286577
{txt}{space 11}period_2 {c |}{col 21}{res}{space 2} 1.409507{col 33}{space 2} .8229554{col 44}{space 1}    1.71{col 53}{space 3}0.087{col 61}{space 4}-.2034559{col 74}{space 3}  3.02247
{txt}{space 11}period_3 {c |}{col 21}{res}{space 2} 2.415613{col 33}{space 2} .8757281{col 44}{space 1}    2.76{col 53}{space 3}0.006{col 61}{space 4} .6992172{col 74}{space 3} 4.132008
{txt}{space 19} {c |}
{space 13}party2 {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-5.311534{col 33}{space 2} 1.219712{col 44}{space 1}   -4.35{col 53}{space 3}0.000{col 61}{space 4}-7.702125{col 74}{space 3}-2.920943
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-4.924951{col 33}{space 2} 1.252415{col 44}{space 1}   -3.93{col 53}{space 3}0.000{col 61}{space 4}-7.379639{col 74}{space 3}-2.470262
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-4.300731{col 33}{space 2} 1.231638{col 44}{space 1}   -3.49{col 53}{space 3}0.000{col 61}{space 4}-6.714697{col 74}{space 3}-1.886765
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-3.698687{col 33}{space 2} 1.171921{col 44}{space 1}   -3.16{col 53}{space 3}0.002{col 61}{space 4}-5.995611{col 74}{space 3}-1.401763
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-4.878491{col 33}{space 2} 1.571077{col 44}{space 1}   -3.11{col 53}{space 3}0.002{col 61}{space 4}-7.957744{col 74}{space 3}-1.799237
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}/cut1 {c |}{col 21}{res}{space 2}-1.779923{col 33}{space 2} .8045509{col 61}{space 4}-3.356814{col 74}{space 3}-.2030324
{txt}{space 14}/cut2 {c |}{col 21}{res}{space 2} 1.924269{col 33}{space 2} .7012904{col 61}{space 4} .5497652{col 74}{space 3} 3.298773
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins, predict(outcome(1)) at(bill_passed=1) atmeans post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       117
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(benefits_ord==1), predict(outcome(1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:bill_passed}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:list_const~m}{space 4}{txt:=} {space 3}.5128205 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:career_min~e}{space 4}{txt:=} {space 3}.4700855 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:committee_~r}{space 4}{txt:=} {space 3}.1111111 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:period_2}{space 8}{txt:=} {space 3}.3589744 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:period_3}{space 8}{txt:=} {space 3}.4273504 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.party2}{space 8}{txt:=} {space 4}.025641 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.party2}{space 8}{txt:=} {space 3}.1709402 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.party2}{space 8}{txt:=} {space 3}.4358974 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.party2}{space 8}{txt:=} {space 4}.042735 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.party2}{space 8}{txt:=} {space 3}.2307692 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.party2}{space 8}{txt:=} {space 3}.0940171 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_cons {c |}{col 14}{res}{space 2} .6052805{col 26}{space 2} .1190476{col 37}{space 1}    5.08{col 46}{space 3}0.000{col 54}{space 4} .3719515{col 67}{space 3} .8386096
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. ***************************************************************************
. **Analysis Benefits - Comparison Passed vs. Rejected Bills*****************
. ***************************************************************************
. use datasetNZballot_Aug2017_prepared, clear
{txt}(Written by R.              )

{com}. 
. drop if bill_passed == 0
{txt}(101 observations deleted)

{com}. save datasetNZballot_Aug2017_passed, replace
{txt}file datasetNZballot_Aug2017_passed.dta saved

{com}. 
. *Manuscript (Table 1 - 4th column)
. foreach y in benefits_ord {c -(}
{txt}  2{com}. foreach x in extracted {c -(}
{txt}  3{com}. ologit `y' `x' list_constnum career_minister_pre committee_chair period_2 period_3 i.party2, cluster(MP)
{txt}  4{com}. outreg2 using regression_comp_`y'_`x', tex replace keep( `x' ) label title("Private Benefits - Bill Passed") addtext(Clustered SE, YES, Controls, YES, Party FE, YES, Legislative Period FE, YES)
{txt}  5{com}. {c )-}
{txt}  6{com}. {c )-}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1906.5312}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1775.4641}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1768.9414}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1768.9062}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1768.9062}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     2,955
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     31.79
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0008
{txt}Log pseudolikelihood = {res}-1768.9062{txt}{col 49}Pseudo R2{col 67}= {res}    0.0722

{txt}{ralign 85:(Std. Err. adjusted for {res:151} clusters in MP)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}       benefits_ord{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}extracted {c |}{col 21}{res}{space 2}   1.5502{col 33}{space 2}    .5279{col 44}{space 1}    2.94{col 53}{space 3}0.003{col 61}{space 4} .5155349{col 74}{space 3} 2.584865
{txt}{space 6}list_constnum {c |}{col 21}{res}{space 2}-.7495041{col 33}{space 2} .3161669{col 44}{space 1}   -2.37{col 53}{space 3}0.018{col 61}{space 4} -1.36918{col 74}{space 3}-.1298283
{txt}career_minister_pre {c |}{col 21}{res}{space 2} .6268887{col 33}{space 2} .4682154{col 44}{space 1}    1.34{col 53}{space 3}0.181{col 61}{space 4}-.2907966{col 74}{space 3} 1.544574
{txt}{space 4}committee_chair {c |}{col 21}{res}{space 2} .3372254{col 33}{space 2} .3471263{col 44}{space 1}    0.97{col 53}{space 3}0.331{col 61}{space 4}-.3431296{col 74}{space 3}  1.01758
{txt}{space 11}period_2 {c |}{col 21}{res}{space 2} 1.283264{col 33}{space 2} .4547363{col 44}{space 1}    2.82{col 53}{space 3}0.005{col 61}{space 4} .3919971{col 74}{space 3} 2.174531
{txt}{space 11}period_3 {c |}{col 21}{res}{space 2}  1.39803{col 33}{space 2} .4750563{col 44}{space 1}    2.94{col 53}{space 3}0.003{col 61}{space 4} .4669369{col 74}{space 3} 2.329123
{txt}{space 19} {c |}
{space 13}party2 {c |}
{space 17}2  {c |}{col 21}{res}{space 2} -2.58948{col 33}{space 2} .9207242{col 44}{space 1}   -2.81{col 53}{space 3}0.005{col 61}{space 4}-4.394067{col 74}{space 3}-.7848939
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-1.624837{col 33}{space 2} .8663927{col 44}{space 1}   -1.88{col 53}{space 3}0.061{col 61}{space 4}-3.322935{col 74}{space 3} .0732617
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-.5651609{col 33}{space 2} .9386955{col 44}{space 1}   -0.60{col 53}{space 3}0.547{col 61}{space 4} -2.40497{col 74}{space 3} 1.274649
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-1.042211{col 33}{space 2} .8038169{col 44}{space 1}   -1.30{col 53}{space 3}0.195{col 61}{space 4}-2.617663{col 74}{space 3} .5332415
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-1.600885{col 33}{space 2} .9378238{col 44}{space 1}   -1.71{col 53}{space 3}0.088{col 61}{space 4}-3.438986{col 74}{space 3} .2372155
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}/cut1 {c |}{col 21}{res}{space 2} .5348011{col 33}{space 2} .8380332{col 61}{space 4}-1.107714{col 74}{space 3} 2.177316
{txt}{space 14}/cut2 {c |}{col 21}{res}{space 2} 4.184447{col 33}{space 2} .9719852{col 61}{space 4} 2.279391{col 74}{space 3} 6.089503
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"regression_comp_benefits_ord_extracted.tex"'"':regression_comp_benefits_ord_extracted.tex}
{browse `"C:\Users\k1780867\Dropbox\cartelle condivise\NZ-Careers\data and analysis\data"' :dir}{com} : {txt}{stata `"seeout using "regression_comp_benefits_ord_extracted.txt", label"':seeout}

{com}. 
. *Manuscript (Table 1 - 5th column)
. use datasetNZballot_Aug2017_prepared, clear
{txt}(Written by R.              )

{com}. 
. drop if bill_passed == 1
{txt}(16 observations deleted)

{com}. save datasetNZballot_Aug2017_rejected, replace
{txt}file datasetNZballot_Aug2017_rejected.dta saved

{com}. 
. foreach y in benefits_ord {c -(}
{txt}  2{com}. foreach x in extracted {c -(}
{txt}  3{com}. ologit `y' `x' list_constnum career_minister_pre committee_chair period_2 period_3 i.party2, cluster(MP)
{txt}  4{com}. outreg2 using regression_comp_`y'_`x', tex append keep( `x' ) label title("Private Benefits - Bill Rejected") addtext(Clustered SE, YES, Controls, YES, Party FE, YES, Legislative Period FE, YES)
{txt}  5{com}. {c )-}
{txt}  6{com}. {c )-}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1952.0403}  
Iteration 1:{space 3}log pseudolikelihood = {res: -1823.761}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1817.8319}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1817.8016}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1817.8016}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     3,040
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     23.53
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0149
{txt}Log pseudolikelihood = {res}-1817.8016{txt}{col 49}Pseudo R2{col 67}= {res}    0.0688

{txt}{ralign 85:(Std. Err. adjusted for {res:151} clusters in MP)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}       benefits_ord{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}extracted {c |}{col 21}{res}{space 2} .1784283{col 33}{space 2} .2146303{col 44}{space 1}    0.83{col 53}{space 3}0.406{col 61}{space 4}-.2422393{col 74}{space 3} .5990959
{txt}{space 6}list_constnum {c |}{col 21}{res}{space 2}-.7221553{col 33}{space 2} .3142618{col 44}{space 1}   -2.30{col 53}{space 3}0.022{col 61}{space 4}-1.338097{col 74}{space 3}-.1062136
{txt}career_minister_pre {c |}{col 21}{res}{space 2}  .615323{col 33}{space 2} .4773159{col 44}{space 1}    1.29{col 53}{space 3}0.197{col 61}{space 4} -.320199{col 74}{space 3} 1.550845
{txt}{space 4}committee_chair {c |}{col 21}{res}{space 2} .3412693{col 33}{space 2} .3498656{col 44}{space 1}    0.98{col 53}{space 3}0.329{col 61}{space 4}-.3444547{col 74}{space 3} 1.026993
{txt}{space 11}period_2 {c |}{col 21}{res}{space 2} 1.211802{col 33}{space 2} .4334645{col 44}{space 1}    2.80{col 53}{space 3}0.005{col 61}{space 4}  .362227{col 74}{space 3} 2.061376
{txt}{space 11}period_3 {c |}{col 21}{res}{space 2} 1.350837{col 33}{space 2} .4570869{col 44}{space 1}    2.96{col 53}{space 3}0.003{col 61}{space 4} .4549633{col 74}{space 3} 2.246711
{txt}{space 19} {c |}
{space 13}party2 {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-2.669627{col 33}{space 2} .9200539{col 44}{space 1}   -2.90{col 53}{space 3}0.004{col 61}{space 4}  -4.4729{col 74}{space 3}-.8663548
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-1.732017{col 33}{space 2} .8782042{col 44}{space 1}   -1.97{col 53}{space 3}0.049{col 61}{space 4}-3.453266{col 74}{space 3}-.0107685
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-.6738356{col 33}{space 2} .9157505{col 44}{space 1}   -0.74{col 53}{space 3}0.462{col 61}{space 4}-2.468674{col 74}{space 3} 1.121002
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-1.133319{col 33}{space 2}  .812749{col 44}{space 1}   -1.39{col 53}{space 3}0.163{col 61}{space 4}-2.726278{col 74}{space 3} .4596396
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-1.678456{col 33}{space 2} .9436007{col 44}{space 1}   -1.78{col 53}{space 3}0.075{col 61}{space 4} -3.52788{col 74}{space 3}  .170967
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}/cut1 {c |}{col 21}{res}{space 2} .3965461{col 33}{space 2} .8550682{col 61}{space 4}-1.279357{col 74}{space 3} 2.072449
{txt}{space 14}/cut2 {c |}{col 21}{res}{space 2} 4.081561{col 33}{space 2} .9849488{col 61}{space 4} 2.151097{col 74}{space 3} 6.012025
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{stata `"shellout using `"regression_comp_benefits_ord_extracted.tex"'"':regression_comp_benefits_ord_extracted.tex}
{browse `"C:\Users\k1780867\Dropbox\cartelle condivise\NZ-Careers\data and analysis\data"' :dir}{com} : {txt}{stata `"seeout using "regression_comp_benefits_ord_extracted.txt", label"':seeout}

{com}. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\k1780867\Dropbox\cartelle condivise\NZ-Careers\data and analysis\-analysis\Replication_Code\manuscript_log.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 5 Nov 2018, 12:55:06
{txt}{.-}
{smcl}
{txt}{sf}{ul off}